Diffyn VS FluxGraph.app

Diffyn's answer

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

FluxGraph.app's answer:

Flux analyzes any public LinkedIn profile — yours, a peer's, or a competitor's — not just the account you log in with. It pulls the complete post history, past the 90-day window LinkedIn's own analytics keep, with no LinkedIn login, no browser extension, and no permissions to grant: paste a URL and the dashboard builds itself.

On top of that history it layers intelligence you can act on:

• Engagement scoring calibrated to your own past posts, not generic benchmarks
• Search your whole post history by topic or idea, not just keywords — "show me everything I've written about pricing"
• Export everything to CSV for reports, spreadsheets, or your CRM — no row limits
• A connection for AI assistants (MCP), so you can ask questions about your LinkedIn data in plain English from tools like Claude

Diffyn's answer

Diffyn is the platform that specializes on both change management and multi-model analysis.

FluxGraph.app's answer:

Why should a person choose Flux Analytics for LinkedIn over its competitors?

Most tools in this space either require you to connect your LinkedIn account through a browser extension — an approach LinkedIn has been actively shutting down — or bundle analytics as one shallow feature among dozens of writing and scheduling tools. Flux is analytics-first and does the reading on its own systems: nothing runs in your browser, nothing touches your account, and nothing breaks when LinkedIn changes its rules.

It starts at $3/month — a fraction of what LinkedIn analytics tools typically cost — and it's the rare tool that lets you study profiles you don't own, which is what turns analytics into benchmarking and the numbers into a report you can actually hand to a client or a boss.

Diffyn's answer

React, Next.js, POSTGRESQL

Diffyn's answer

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

FluxGraph.app's answer:

People who treat LinkedIn as a business channel and want evidence instead of guesswork: consultants and coaches building an audience, creators and educators, marketers who need to show the boss whether LinkedIn is working (their own profile, an executive's, or the company page), and sales/GTM teams who research prospects and track who engages.

Whether you post daily or twice a month — or don't post at all and just need to understand what's working for someone else — if you've wondered "what's actually working?", Flux is built for you.

Diffyn's answer

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.

FluxGraph.app's answer:

Flux started with a spreadsheet problem. Founder was helping a B2B SaaS client whose founder posted consistently on LinkedIn — demo requests seemed to spike after certain posts, but there was no way to prove it, because LinkedIn doesn't even show post dates (just "2w ago"). Trevor discovered LinkedIn encodes a timestamp inside every post ID, built a free post-date extractor that's since decoded hundreds of thousands of posts, then a Google Sheets tracker, and finally — wanting the insights without the manual upkeep — built Flux. It's bootstrapped, built in the open, and shaped directly by early-user feedback.

FluxGraph.app's answer:

Flux serves individuals and small teams rather than enterprises, and doesn't name customers without their permission. The paying base includes:

• Executive coaches tracking client presence
• Marketing leads who report LinkedIn performance to their teams
• Sales-intelligence teams researching prospects and engagement
• University researchers studying LinkedIn engagement
• Consultants who benchmark their clients' presence against their markets